Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Nelci/bertimbau_hate_speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nelci/bertimbau_hate_speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nelci/bertimbau_hate_speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nelci/bertimbau_hate_speech") model = AutoModelForSequenceClassification.from_pretrained("Nelci/bertimbau_hate_speech") - Notebooks
- Google Colab
- Kaggle
Commit ·
3b27451
1
Parent(s): 8a61c43
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (03086102e8cacbdeb66308d9ed02bd8505571da7)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:921446b679016150bb8352f623892a47ea69da7c2b35e89c42e17a2c4f4c82cc
|
| 3 |
+
size 1337640872
|